Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal

This study explores the growing significance of Large Language Models (LLMs) in tourism, for their current and potential applications. It aims to achieve two primary objectives: first, to develop a novel hetero-intelligence framework merging human and artificial intelligence (AI) to address contempo...

ver descrição completa

Detalhes bibliográficos
Autores: Buitrago Esquinas, Eva María, Yñíguez Ovando, Rocío, Puig Cabrera, Miguel, Custódio Santos, Margarida, Santos, José Antonio C.
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2024
País:España
Recursos:Universidad de Sevilla (US)
Repositório:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/163888
Acesso em linha:https://hdl.handle.net/11441/163888
https://doi.org/10.18089/tms.2024SI04
Access Level:Acceso aberto
Palavra-chave:Sustainable tourism planning
Hetero-intelligent performance testing
Human intelligence
Conversational generative AI
Large language models
ChatGPT
id ES_9452e45ea3f83ee3a1563d7df1fae5c4
oai_identifier_str oai:idus.us.es:11441/163888
network_acronym_str ES
network_name_str España
repository_id_str
spelling Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposalBuitrago Esquinas, Eva MaríaYñíguez Ovando, RocíoPuig Cabrera, MiguelCustódio Santos, MargaridaSantos, José Antonio C.Sustainable tourism planningHetero-intelligent performance testingHuman intelligenceConversational generative AILarge language modelsChatGPTThis study explores the growing significance of Large Language Models (LLMs) in tourism, for their current and potential applications. It aims to achieve two primary objectives: first, to develop a novel hetero-intelligence framework merging human and artificial intelligence (AI) to address contemporary sustainability challenges in tourism; second, to validate this framework by applying it to sustainable tourism planning, assessing LLMs' capabilities and limitations. The research employs a hetero-intelligence performance test, contrasting human intelligence and AI contributions in sustainable tourism planning with overtourism as a proxy challenge. Results showed that hetero-intelligence could effectively address sustainability issues in tourism, provided human and AI strengths and weaknesses are understood. LLMs proved useful in diagnosing and proposing solutions for sustainability-related issues. However, a rigorous methodological framework is essential to ensure unbiased outcomes. The research offers practical guidelines for applying this approach and significantly contributes to epistemological and empirical dimensions, providing valuable insights for researchers and tourism planners. The study calls for more empirical research to validate the methodology and explore ethical and legal dimensions, extending hetero-intelligence applications to broader sustainability challenges in tourism.Este estudio explora la creciente importancia de los Modelos de Lenguaje Grande (LLMs) en el turismo en sus aplicaciones actuales y potenciales. Se plantean dos objetivos principales. Primero, desarrollar un nuevo marco hetero-inteligente que, combinando la inteligencia humana y artificial (IA), aborde los desafíos actuales de sostenibilidad en el turismo; segundo objetivo, validar este marco para la planificación turística sostenible, evaluando capacidades y limitaciones de los LLM. La investigación emplea una prueba de desempeño hetero-inteligente, contrastando las contribuciones de la inteligencia humana y la IA en la planificación del overtourism. Los resultados mostraron que la hetero-inteligencia podría abordar eficazmente los problemas de sostenibilidad en el turismo, teniendo en cuenta las fortalezas y debilidades de los humanos y de la IA. Los LLM resultaron útiles para diagnosticar y proponer soluciones a cuestiones sobre la sostenibilidad. Sin embargo, un marco metodológico riguroso es esencial para garantizar resultados imparciales. La investigación proporciona conocimientos valiosos para investigadores y planificadores turísticos. Pero es necesario mayor investigación empírica para validar la metodología y explorar dimensiones éticas y legales en desafíos más amplios de sostenibilidad en el turismo..Universidade do AlgarveAnálisis Económico y Economía PolíticaEconomía Aplicada III2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/11441/163888https://doi.org/10.18089/tms.2024SI04reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésTourism & Management Studies, 20 (Special Issue), 45-59.https://www.tmstudies.net/index.php/ectms/article/view/2726info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1638882026-06-17T12:51:07Z
dc.title.none.fl_str_mv Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
title Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
spellingShingle Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
Buitrago Esquinas, Eva María
Sustainable tourism planning
Hetero-intelligent performance testing
Human intelligence
Conversational generative AI
Large language models
ChatGPT
title_short Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
title_full Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
title_fullStr Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
title_full_unstemmed Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
title_sort Artificial Intelligence and sustainable tourism planning: A hetero-intelligence methodology proposal
dc.creator.none.fl_str_mv Buitrago Esquinas, Eva María
Yñíguez Ovando, Rocío
Puig Cabrera, Miguel
Custódio Santos, Margarida
Santos, José Antonio C.
author Buitrago Esquinas, Eva María
author_facet Buitrago Esquinas, Eva María
Yñíguez Ovando, Rocío
Puig Cabrera, Miguel
Custódio Santos, Margarida
Santos, José Antonio C.
author_role author
author2 Yñíguez Ovando, Rocío
Puig Cabrera, Miguel
Custódio Santos, Margarida
Santos, José Antonio C.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Análisis Económico y Economía Política
Economía Aplicada III
dc.subject.none.fl_str_mv Sustainable tourism planning
Hetero-intelligent performance testing
Human intelligence
Conversational generative AI
Large language models
ChatGPT
topic Sustainable tourism planning
Hetero-intelligent performance testing
Human intelligence
Conversational generative AI
Large language models
ChatGPT
description This study explores the growing significance of Large Language Models (LLMs) in tourism, for their current and potential applications. It aims to achieve two primary objectives: first, to develop a novel hetero-intelligence framework merging human and artificial intelligence (AI) to address contemporary sustainability challenges in tourism; second, to validate this framework by applying it to sustainable tourism planning, assessing LLMs' capabilities and limitations. The research employs a hetero-intelligence performance test, contrasting human intelligence and AI contributions in sustainable tourism planning with overtourism as a proxy challenge. Results showed that hetero-intelligence could effectively address sustainability issues in tourism, provided human and AI strengths and weaknesses are understood. LLMs proved useful in diagnosing and proposing solutions for sustainability-related issues. However, a rigorous methodological framework is essential to ensure unbiased outcomes. The research offers practical guidelines for applying this approach and significantly contributes to epistemological and empirical dimensions, providing valuable insights for researchers and tourism planners. The study calls for more empirical research to validate the methodology and explore ethical and legal dimensions, extending hetero-intelligence applications to broader sustainability challenges in tourism.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/163888
https://doi.org/10.18089/tms.2024SI04
url https://hdl.handle.net/11441/163888
https://doi.org/10.18089/tms.2024SI04
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Tourism & Management Studies, 20 (Special Issue), 45-59.
https://www.tmstudies.net/index.php/ectms/article/view/2726
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Algarve
publisher.none.fl_str_mv Universidade do Algarve
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869413669163499521
score 15,812429

Registros relacionados